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Style-Aware Normalized Loss for Improving Arbitrary Style Transfer


Apr 18, 2021
Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan

* Accepted as CVPR 2021 Oral Paper 

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Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder


Feb 18, 2021
Bo Wang, Yue Wu, Nemanja Vaci, Maria Liakata, Terry Lyons, Kate E A Saunders


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Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation


Feb 15, 2021
Yue Wu, Dongruo Zhou, Quanquan Gu

* 40 pages, 1 figure 

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Class-agnostic Object Detection


Nov 28, 2020
Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan

* To appear in Proceedings of WACV 2021 

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Unsupervised Domain Adaptation for Visual Navigation


Nov 12, 2020
Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai, Yue Wu, Louis-Philippe Morency, Ruslan Salakhutdinov

* Deep Reinforcement Learning Workshop at NeurIPS 2020. Camera Ready Version 

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Claw U-Net: A Unet-based Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation


Oct 20, 2020
Chang Yao, Jingyu Tang, Menghan Hu, Yue Wu, Wenyi Guo, Qingli Li, Xiao-Ping Zhang

* 5 pages,4 figures 

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Transferring Inter-Class Correlation


Aug 11, 2020
Hui Wen, Yue Wu, Chenming Yang, Jingjing Li, Yue Zhu, Xu Jiang, Hancong Duan

* 10 pages, 5 figures 

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Planimation


Aug 11, 2020
Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky

* Best ICAPS 19 - Systen Demo Award - technical report 

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Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews


Aug 08, 2020
Bo Wang, Yue Wu, Niall Taylor, Terry Lyons, Maria Liakata, Alejo J Nevado-Holgado, Kate E A Saunders


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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting


Jun 30, 2020
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

* Fixed typos. Code available at: https://github.com/Holmeswww/PPOGAN 

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Demystifying Self-Supervised Learning: An Information-Theoretical Framework


Jun 11, 2020
Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, Louis-Philippe Morency


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A Finite Time Analysis of Two Time-Scale Actor Critic Methods


May 04, 2020
Yue Wu, Weitong Zhang, Pan Xu, Quanquan Gu

* 43 pages 

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Signature features with the visibility transformation


Apr 16, 2020
Yue Wu, Hao Ni, Terence J. Lyons, Robin L. Hudson


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Future Video Synthesis with Object Motion Prediction


Apr 15, 2020
Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen

* CVPR 2020 

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Cross-modality Person re-identification with Shared-Specific Feature Transfer


Mar 12, 2020
Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu

* To appear at CVPR2020 

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Towards Understanding the Spectral Bias of Deep Learning


Dec 03, 2019
Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu

* 26 pages, 4 figures 

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Coverage-based Outlier Explanation


Nov 06, 2019
Yue Wu, Leman Akoglu, Ian Davidson


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MMDetection: Open MMLab Detection Toolbox and Benchmark


Jun 17, 2019
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

* Technical report of MMDetection. 11 pages 

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Double-Head RCNN: Rethinking Classification and Localization for Object Detection


May 31, 2019
Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu


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Large Scale Incremental Learning


May 30, 2019
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu


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Unified Adversarial Invariance


May 07, 2019
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan

* In Submission to T-PAMI. arXiv admin note: substantial text overlap with arXiv:1809.10083 

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Spatially Constrained Generative Adversarial Networks for Conditional Image Generation


May 07, 2019
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu


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Rethinking Classification and Localization in R-CNN


Apr 13, 2019
Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu


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QATM: Quality-Aware Template Matching For Deep Learning


Apr 09, 2019
Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

* Accepted as CVPR 2019 paper. Camera ready version 

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AIRD: Adversarial Learning Framework for Image Repurposing Detection


Apr 09, 2019
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan

* Camera-ready version for the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 

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